Search for dissertations about: "shared data structure"
Showing result 1 - 5 of 83 swedish dissertations containing the words shared data structure.
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1. Efficient and Practical Non-Blocking Data Structures
Abstract : This thesis deals with how to design and implement efficient, practical and reliable concurrent data structures. The design method using mutual exclusion incurs serious drawbacks, whereas the alternative non-blocking techniques avoid those problems and also admit improved parallelism. READ MORE
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2. Lock-free Concurrent Search
Abstract : The contemporary computers typically consist of multiple computing cores with high compute power. Such computers make excellent concurrent asynchronous shared memory system. READ MORE
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3. Efficient concurrent data structure access parallelism techniques for increasing scalability
Abstract : Multi-core processors have revolutionised the way data structures are designed by bringing parallelism to mainstream computing. Key to exploiting hardware parallelism available in multi-core processors are concurrent data structures. READ MORE
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4. Open Government Data as a Reform and Ecosystem : A conceptual framework for evolution and health
Abstract : Introduction: This doctoral thesis in Information Systems disentangles the interplay of an OGD reform and an OGD ecosystem. Open government data (OGD) refers to data shared by public organizations, in the role of providers, following certain principles for anyone to reuse. READ MORE
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5. Web Applications for Large-Scale Decision Support : Preference Elicitation, Modeling and Visualization
Abstract : This thesis addresses the lack of effective and efficient technology design in current e-participation research by investigating two approaches that yet have not been explored to any great extent in the literature: decision science and data visualization. It is concerned with the problem of how to combine techniques from these two fields to achieve decision support in the context of e-participation; from preference elicitation and modeling to data analysis, visualization and final recommendations, such that it can provide value to practitioners. READ MORE